ICLR 2024 Conference Submissions

A Unified Framework of Theoretically Robust Contrastive Loss against Label Noise
Jingyi Cui, Yi-Ge Zhang, Hengyu Liu, Yisen Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Implicit Neural Network on Dynamic Graphs
Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LLM-Prop: Predicting Physical And Electronic Properties of Crystalline Solids From Their Text Descriptions
Andre Niyongabo Rubungo, Craig Arnold, Barry Rand, Adji Bousso Dieng
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels
Hui Kang, Sheng Liu, Huaxi Huang, Jun Yu, Bo Han, Dadong Wang, Tongliang Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Spiking Mixers for Robust and Energy-efficient Vision-and-Language Learning
Mufeng Chen, Erping Li
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Multi-agent Optimistic Soft Q-Learning: A co-MARL Algorithm with a Global Convergence Guarantee
Rui Hu, Lei Ying
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models
Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Furong Huang, Tong Sun
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Parameter Tuning of Large Protein Language Models for De Novo Protein Design
Jiawei Luo, Xianliang Liu, Jiahao Li, Junjie Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning-Retrieval-Revision For Large Language Model Domain Adaptation
Zhen Wan, Yating Zhang, Yexiang Wang, Fei Cheng, Sadao Kurohashi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Non-asymptotic Analysis of Stochastic Gradient Descent under Local Differential Privacy Guarantee
Enze Shi, Jinhan Xie, Linglong Kong, Bei Jiang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adaptive Continual Learning: Rapid Adaptation and Knowledge Refinement
Jin Du, Yuhong Yang, Jie Ding
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization
Xixu HU, Runkai Zheng, Jindong Wang, Cheuk Hang LEUNG, Qi WU, Xing Xie
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Making Batch Normalization Great in Federated Deep Learning
Jike Zhong, Hong-You Chen, Wei-Lun Chao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Communication-Efficient Federated Non-Linear Bandit Optimization
Chuanhao Li, Chong Liu, Yu-Xiang Wang
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DISTPAR:TENSOR PARTITIONING FOR DISTRIBUTED NEURAL NETWORK COMPUTING
Hongsheng Wang, Jinhui Yuan, Shun Liu, Weijie Xia, Xinyi Zhou, Shengyu Zhang, Fei Wu, Mohamed Jaward Bah, Feng Lin
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Online GNN Evaluation Under Test-time Graph Distribution Shifts
Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations
Wenhan Xian, Feihu Huang, Heng Huang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
Sipeng Zheng, jiazheng liu, Yicheng Feng, Zongqing Lu
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DAG-Based Column Generation for Adversarial Team Games
Youzhi Zhang, Bo An, Daniel Dajun Zeng
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Accurate Link Prediction via PU Learning
Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration
Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model
Hao Yan, Yuhong Guo
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An Axiomatic Approach to Model-Agnostic Concept Explanations
Michal Moshkovitz, Zhili Feng, Dotan Di Castro, J Zico Kolter
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone